Jonas Bärgman

Jonas Bärgman

Chalmers tekniska högskola

H-index: 22

Europe-Sweden

About Jonas Bärgman

Jonas Bärgman, With an exceptional h-index of 22 and a recent h-index of 19 (since 2020), a distinguished researcher at Chalmers tekniska högskola, specializes in the field of Traffic safety, accident prevention, active safety, autonomous driving.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modeling Lead-Vehicle Kinematics for Rear-End Crash Scenario Generation

Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data

Using naturalistic and driving simulator data to model driver responses to unintentional lane departures

Human factors in developing automated vehicles: A requirements engineering perspective

Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices

Critical Zones for Comfortable Collision Avoidance with a Leading Vehicle

Data and data collection methodologies for the development of computational models of AV/VRU interaction and their integration into virtual simulation testing of AV …

Continuous Experimentation and Human Factors: An Exploratory Study

Jonas Bärgman Information

University

Position

___

Citations(all)

1840

Citations(since 2020)

1295

Cited By

942

hIndex(all)

22

hIndex(since 2020)

19

i10Index(all)

33

i10Index(since 2020)

27

Email

University Profile Page

Chalmers tekniska högskola

Google Scholar

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Jonas Bärgman Skills & Research Interests

Traffic safety

accident prevention

active safety

autonomous driving

Top articles of Jonas Bärgman

Title

Journal

Author(s)

Publication Date

Modeling Lead-Vehicle Kinematics for Rear-End Crash Scenario Generation

IEEE Transactions on Intelligent Transportation Systems

Jian Wu

Carol Flannagan

Ulrich Sander

Jonas Bärgman

2024/3/18

Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data

IET Intelligent Transport Systems

Sarang Jokhio

Pierluigi Olleja

Jonas Bärgman

Fei Yan

Martin Baumann

2024/2

Using naturalistic and driving simulator data to model driver responses to unintentional lane departures

Transportation research part F: traffic psychology and behaviour

Malin Svärd

Gustav Markkula

Mikael Ljung Aust

Jonas Bärgman

2024/1/1

Human factors in developing automated vehicles: A requirements engineering perspective

Journal of Systems and Software

Amna Pir Muhammad

Eric Knauss

Jonas Bärgman

2023/11/1

Managing Human Factors in Automated Vehicle Development: Towards Challenges and Practices

Amna Pir Muhammad

Eric Knauss

Jonas Bärgman

Alessia Knauss

2023/9/4

Critical Zones for Comfortable Collision Avoidance with a Leading Vehicle

arXiv preprint arXiv:2303.14709

Jordanka Kovaceva

Nikolce Murgovski

Balázs Kulcsár

Henk Wymeersch

Jonas Bärgman

2023/3/26

Data and data collection methodologies for the development of computational models of AV/VRU interaction and their integration into virtual simulation testing of AV …

Marco Dozza

Ali Mohammadi

Xiaomi Yang

Chi Zhang

Xiaolin He

...

2023

Continuous Experimentation and Human Factors: An Exploratory Study

Amna Pir Muhammad

Eric Knauss

Jonas Bärgman

Alessia Knauss

2023/12/2

Analysis of Time-to-Lane-Change-Initiation Using Realistic Driving Data

IEEE Transactions on Intelligent Transportation Systems

Sarang Jokhio

Pierluigi Olleja

Jonas Bärgman

Fei Yan

Martin Baumann

2023/11/21

Can non-crash naturalistic driving data be an alternative to crash data for use in virtual assessment of the safety performance of automated emergency braking systems?

Journal of safety research

Pierluigi Olleja

Jonas Bärgman

Nils Lubbe

2022/12/1

Validation of an eyes-off-road crash causation model for virtual safety assessment

Lindholmen Conference Centre & online October 19–20, 2022

Jonas Bärgman

Malin Svärd

Simon Lundell

Ahmed Shams El Din

2022/10/19

Let complexity bring clarity: a multidimensional assessment of cognitive load using physiological measures

Frontiers in neuroergonomics

Emma J Nilsson

Jonas Bärgman

Mikael Ljung Aust

Gerald Matthews

Bo Svanberg

2022/2/8

On the importance of driver models for the development and assessment of active safety: a new collision warning system to make overtaking cyclists safer

Accident Analysis & Prevention

Jordanka Kovaceva

Jonas Bärgman

Marco Dozza

2022/2/1

Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples

arXiv preprint arXiv:2212.10024

Henrik Imberg

Xiaomi Yang

Carol Flannagan

Jonas Bärgman

2022/12/20

Evaluating automated emergency braking performance in simulated car-to-two-wheeler crashes in China: A comparison between C-NCAP tests and in-depth crash data

Accident Analysis & Prevention

Bo Sui

Nils Lubbe

Jonas Bärgman

2021/9/1

Vulnerable road users and the coming wave of automated vehicles: Expert perspectives

Transportation research interdisciplinary perspectives

Wilbert Tabone

Joost De Winter

Claudia Ackermann

Jonas Bärgman

Martin Baumann

...

2021/3/1

Methodological Framework for Modelling and Empirical Approaches (Deliverable D1. 1 in the H2020 MSCA ITN project SHAPE-IT)

Nikol Figalová

Sarang Jokhio

Mohamed Nasser

Naomi Yvonne Mbelekani

Chi Zang

...

2021

Detection and response to critical lead vehicle deceleration events with peripheral vision: glance response times are independent of visual eccentricity

Accident Analysis & Prevention

Malin Svärd

Jonas Bärgman

Trent Victor

2021/2/1

Quantitative Driver Behavior Modelling forActive Safety Assessment Expansion (QUADRAE)

Jonas Bärgman

Guilio Bianchi Piccinini

Thomas Streubel

Bruno Augusto

Tobias Aderum

...

2021

L3Pilot Deliverable D7. 4: Impact evaluation results

Afsane Bjorvatn

Yves Page

Felix Fahrenkrog

Hendrik Weber

Elina Aittoniemi

...

2021

See List of Professors in Jonas Bärgman University(Chalmers tekniska högskola)

Co-Authors

H-index: 37
Jonas Sjöberg

Jonas Sjöberg

Chalmers tekniska högskola

H-index: 35
Gustav Markkula

Gustav Markkula

University of Leeds

H-index: 33
Marco Dozza

Marco Dozza

Chalmers tekniska högskola

H-index: 29
Brandon Schoettle

Brandon Schoettle

University of Michigan

H-index: 20
Robert Thomson

Robert Thomson

Chalmers tekniska högskola

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